{"id":41616,"date":"2023-03-31T16:45:52","date_gmt":"2023-03-31T08:45:52","guid":{"rendered":"https:\/\/swarma.org\/?p=41616"},"modified":"2023-03-31T16:45:52","modified_gmt":"2023-03-31T08:45:52","slug":"%e5%9c%86%e6%a1%8c%e6%8e%a2%e8%ae%a8%ef%bc%9a%e5%a4%a7%e8%af%ad%e8%a8%80%e6%a8%a1%e5%9e%8b%e4%b8%8e%e7%a7%91%e5%ad%a6%e7%9a%84%e5%8f%8c%e5%90%91%e5%a5%94%e8%b5%b4-aiscience-x-%e5%90%8echatgpt","status":"publish","type":"post","link":"https:\/\/swarma.org\/?p=41616","title":{"rendered":"\u5706\u684c\u63a2\u8ba8\uff1a\u5927\u8bed\u8a00\u6a21\u578b\u4e0e\u79d1\u5b66\u7684\u53cc\u5411\u5954\u8d74 | AI+Science \u00d7 \u540echatGPT\u8bfb\u4e66\u4f1a\u8054\u52a8"},"content":{"rendered":"
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\u4ec0\u4e48\u662fLLM+Science?\u5927\u6a21\u578b\u5bf9\u79d1\u5b66\u53d1\u73b0\u548c\u79d1\u5b66\u7814\u7a76\u6709\u4ec0\u4e48\u542f\u53d1\uff1f\u5982\u4f55\u57fa\u4e8e\u5927\u6a21\u578b\u5f00\u5c55Science\u9886\u57df\u7684\u5de5\u4f5c\uff1f\u54ea\u4e9b\u662f\u6f5c\u5728\u53ef\u80fd\u74f6\u9888\u4ee5\u53ca\u4e2d\u671f\u89e3\u51b3\u65b9\u6848\uff1f\u9ebb\u7701\u7406\u5de5\u5927\u5b66\u5728\u8bfb\u535a\u58eb\u5218\u5b50\u9e23\u540c\u5b66\u5c06\u4ecb\u7ecd\u4ed6\u4eec\u6700\u65b0\u7684\u5de5\u4f5c\uff0c\u7528\u201c\u77e5\u8bc6\u91cf\u5b50\u201d\u7684\u60f3\u6cd5\u6765\u89e3\u91ca\u795e\u7ecf\u6807\u5ea6\u5f8b\uff0c\u4e0e\u6b64\u540c\u65f6\uff0c\u5218\u5b50\u9e23\u540c\u5b66\u4e5f\u53d1\u8d77\u4e86\u4e00\u4e2a\u5706\u684c\u8ba8\u8bba\uff0c\u9080\u8bf7\u4e86\u6765\u81ea\u52a0\u5dde\u5927\u5b66\u5723\u5730\u4e9a\u54e5\u5206\u6821\u7684\u52a9\u7406\u6559\u6388\u5c24\u4ea6\u5e84\u3001\u590d\u65e6\u5927\u5b66\u8ba1\u7b97\u673a\u7cfb\u526f\u6559\u6388\u9a6c\u5174\u519b\u3001\u96c6\u667a\u79d1\u5b66\u5bb6\uff0c\u540echatGPT\u8bfb\u4e66\u4f1a<\/a>\u53d1\u8d77\u4eba\u4e4b\u4e00\u674e\u5ae3\u7136\u3001\u65af\u5766\u798f\u5927\u5b66\u8ba1\u7b97\u673a\u79d1\u5b66\u7cfb\u535a\u58eb\u540e\u7814\u7a76\u5458\u5434\u6cf0\u9716\uff0c\u5e0c\u671b\u6765\u8ba8\u8bbaLLM\u4e0eScience\u4e4b\u95f4\u5728\u7ed3\u5408\u8fc7\u7a0b\u4e2d\u7684\u95ee\u9898\u548c\u6311\u6218\u3002\u672c\u6b21\u5206\u4eab\u4e5f\u662f\u96c6\u667a\u4ff1\u4e50\u90e8AI+Science\u8bfb\u4e66\u4f1a\u4e0e\u201c\u540echatGPT\u201d\u8bfb\u4e66\u4f1a\u7684\u4e00\u6b21\u68a6\u5e7b\u8054\u52a8\uff0c\u5728\u4e24\u4e2a\u793e\u533a\u4f1a\u540c\u6b65\u5206\u4eab\u3002<\/span><\/strong><\/p>\n


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AI+Science \u662f\u8fd1\u5e74\u5174\u8d77\u7684\u5c06\u4eba\u5de5\u667a\u80fd\u548c\u79d1\u5b66\u76f8\u7ed3\u5408\u7684\u4e00\u79cd\u8d8b\u52bf\u3002\u96c6\u667a\u4ff1\u4e50\u90e8\u8054\u5408\u65af\u5766\u798f\u5927\u5b66\u8ba1\u7b97\u673a\u79d1\u5b66\u7cfb\u535a\u58eb\u540e\u7814\u7a76\u5458\u5434\u6cf0\u9716\uff08Jure Leskovec \u6559\u6388\u6307\u5bfc\uff09\u3001\u54c8\u4f5b\u91cf\u5b50\u8ba1\u5212\u7814\u7a76\u5458\u6248\u9e3f\u4e1a\u3001\u9ebb\u7701\u7406\u5de5\u5b66\u9662\u7269\u7406\u7cfb\u535a\u58eb\u751f\u5218\u5b50\u9e23\uff08Max Tegmark \u6559\u6388\u6307\u5bfc\uff09\uff0c\u5171\u540c\u53d1\u8d77\u4ee5\u201c<\/span><\/strong><\/a>AI+Science<\/strong><\/a><\/strong>\u201d\u4e3a\u4e3b\u9898\u7684\u8bfb\u4e66\u4f1a\uff0c\u4ece2023\u5e743\u670826\u65e5\u5f00\u59cb\uff0c\u6bcf\u5468\u65e5\u65e9\u4e0a 9:00-11:00 \u7ebf\u4e0a\u4e3e\u884c\uff0c\u6301\u7eed\u65f6\u95f4\u9884\u8ba110\u5468\u3002\u6b22\u8fce\u5bf9\u63a2\u7d22\u8fd9\u4e2a\u6fc0\u52a8\u4eba\u5fc3\u7684\u524d\u6cbf\u9886\u57df\u6709\u5174\u8da3\u7684\u670b\u53cb\u62a5\u540d\u53c2\u4e0e\u3002<\/span><\/strong><\/p>\n<\/section>\n

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\u4eba\u5de5\u667a\u80fd (AI) \u4e00\u76f4\u5728\u5f00\u53d1\u548c\u6539\u8fdb\u5927\u578b\u8bed\u8a00\u6a21\u578b (LLM)\uff0c\u8fd9\u4e9b\u6a21\u578b\u5728\u5404\u79cd\u9886\u57df\u548c\u4efb\u52a1\u4e2d\u5c55\u73b0\u51fa\u5353\u8d8a\u7684\u80fd\u529b\uff0c\u6311\u6218\u6211\u4eec\u5bf9\u5b66\u4e60\u548c\u8ba4\u77e5\u7684\u7406\u89e3\u3002\u9664\u4e86\u5bf9\u8bed\u8a00\u7684\u638c\u63e1\u4e4b\u5916\uff0cGPT-4 \u8fd8\u53ef\u4ee5\u89e3\u51b3\u8de8\u8d8a\u6570\u5b66\u3001\u7f16\u7801\u3001\u89c6\u89c9\u3001\u533b\u5b66\u3001\u6cd5\u5f8b\u3001\u5fc3\u7406\u5b66\u7b49\uff0c\u65e0\u9700\u4efb\u4f55\u7279\u6b8a\u63d0\u793a\u3002\u6b64\u5916\uff0c\u5728\u6240\u6709\u8fd9\u4e9b\u4efb\u52a1\u4e2d\uff0cGPT-4 \u7684\u6027\u80fd\u90fd\u975e\u5e38\u63a5\u8fd1\u4eba\u7c7b\u6c34\u5e73\uff0c\u5e76\u4e14\u5e38\u5e38\u5927\u5927\u8d85\u8fc7 ChatGPT \u7b49\u5148\u524d\u7684\u6a21\u578b\u3002\u4ea7\u751f\u79d1\u5b66\u5047\u8bbe\u548c\u7814\u7a76\u60f3\u6cd5\u7684\u8fc7\u7a0b\u662f\u4e00\u9879\u590d\u6742\u800c\u8017\u65f6\u7684\u4efb\u52a1\uff0c\u9700\u8981\u521b\u9020\u529b\u3001\u6279\u5224\u6027\u601d\u7ef4\u548c\u5bf9\u8be5\u9886\u57df\u7684\u900f\u5f7b\u7406\u89e3\u3002\u901a\u8fc7\u4f7f\u7528LLM\uff0c\u79d1\u5b66\u5bb6\u53ef\u4ee5\u8bbf\u95ee\u5e9e\u5927\u7684\u77e5\u8bc6\u5e93\u5e76\u4ee5\u66f4\u5feb\u7684\u901f\u5ea6\u4ea7\u751f\u65b0\u7684\u60f3\u6cd5\uff0c\u4ece\u800c\u6709\u53ef\u80fd\u5e26\u6765\u65b0\u7684\u7a81\u7834\u548c\u53d1\u73b0\u3002<\/span><\/p>\n


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(a)\u7269\u7406\u4e2d\uff0c\u4ec0\u4e48\u662f\u6807\u5ea6\u5f8b\uff1f<\/span><\/section>\n
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(a)AI+Science\u95ee\u9898\u662f\u5426\u670d\u4ece\u795e\u7ecf\u6807\u5ea6\u5f8b\uff1f<\/span><\/section>\n
(b)\u91cf\u5b50\u89e3\u91ca\u5982\u4f55\u5e2e\u52a9AI+Science\u7684\u53ef\u89e3\u91ca\u6027\u3002<\/span><\/section>\n

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(1) \u662f\u5426\u66f4\u5927\u7684AI\u6a21\u578b\u4f1a\u5e26\u6765\u66f4\u597d\u7684\u6548\u679c\uff1f\u6709\u4ec0\u4e48\u5c40\u9650\u6027\uff1f<\/span><\/section>\n
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(3) \u662f\u5426\u89c2\u5bdf\u5230\u6a21\u578b\u884c\u4e3a\u968f\u7740AI\u6a21\u578b\u7684\u8d85\u53c2\u6570\u6709\u5f02\u5e38\u7684\u53d8\u5316\uff1f<\/span><\/section>\n
(4) \u662f\u66f4\u4f9d\u8d56\u4e8e\u6570\u636e\u8fd8\u662f\u66f4\u4f9d\u8d56\u4e8e\u89c4\u5219\uff1fAI\u662f\u5426\u6709\u6539\u53d8\u7814\u7a76\u8303\u5f0f\uff1f<\/span><\/section>\n

(5) \u968f\u7740\u66f4\u5148\u8fdb\u7684AGI\u51fa\u73b0\uff0c\u5982\u4f55\u76d1\u7ba1AI\u4ee5\u4fdd\u8bc1\u7ed3\u679c\u53ef\u4fe1\u3002<\/span><\/p>\n


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2022\u5e744\u67082\u65e5\uff08\u5468\u65e5\uff09  \u4e0a\u5348 10:00-22:00<\/span>
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\u5218\u5b50\u9e23\uff0c<\/span><\/strong>\u76ee\u524d\u662f\u9ebb\u7701\u7406\u5de5\u5b66\u9662\uff08MIT\uff09\u7269\u7406\u7cfb\u535a\u58eb\u751f\uff0c\u5bfc\u5e08\u662fMax Tegmark\u3002\u6b64\u524d2020\u5e74\u4ed6\u4ece\u5317\u4eac\u5927\u5b66\u83b7\u5f97\u7269\u7406\u5b66\u58eb\u5b66\u4f4d\u3002\u4ed6\u7684\u7814\u7a76\u5174\u8da3\u5728AI\u548c\u7269\u7406\u7684\u4ea4\u53c9\uff1a\u4e00\u65b9\u9762AI for Physics\uff0c\u5229\u7528AI\u5de5\u5177\u81ea\u52a8\u5316\u7269\u7406\u89c4\u5f8b\u548c\u6982\u5ff5\u7684\u53d1\u73b0\uff1b\u53e6\u4e00\u65b9\u9762Physics for AI\uff0c\u5229\u7528\u7269\u7406\u542f\u53d1\u6784\u5efaAI\u7406\u8bba\u548c\u66f4\u5177\u53ef\u89e3\u91ca\u6027\u7684\u6a21\u578b\u3002<\/span><\/p>\n

\u4e2a\u4eba\u4e3b\u9875\uff1ahttps:\/\/kindxiaoming.github.io\/<\/span><\/p>\n


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\u53c2\u8003\u6587\u732e\uff1a<\/span><\/strong><\/span><\/h3>\n
https:\/\/arxiv.org\/abs\/2004.10802<\/span> \u201cA Neural Scaling Law from the Dimension of the Data Manifold\u201d<\/span><\/section>\n
https:\/\/arxiv.org\/abs\/2303.13506 \u201cThe Quantization Model of Neural Scaling\u201d<\/span><\/section>\n
https:\/\/arxiv.org\/abs\/2001.08361<\/span> \u201cScaling Laws for Neural Language Models\u201c\u201d<\/span><\/section>\n

https:\/\/arxiv.org\/abs\/2303.12712 \u201dSparks of Artificial General Intelligence: Early experiments with GPT-4\u201d<\/span><\/p>\n


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\uff08\u56fe\u7247\u6765\u6e90\uff1aScaling Laws for Neural Language Models\uff09<\/span><\/p>\n


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\uff08\u56fe\u7247\u6765\u6e90\uff1aBeyond neural scaling laws: beating power law scaling via data pruning\uff09<\/span><\/section>\n


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Nature \u7269\u7406\uff1a\u89c4\u6a21\u6cd5\u5219\u5236\u7ea6\u80bf\u7624\u751f\u957f<\/span><\/a>
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Science Advances\u524d\u6cbf\uff1a\u7761\u7720\u548c\u4f53\u578b\u5927\u5c0f\u4e4b\u95f4\u7684\u5e42\u5f8b\u6cd5\u5219<\/span><\/a>
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Science\uff1a\u7edf\u4e00\u751f\u7269\u5f02\u901f\u751f\u957f\u7684\u89c4\u6a21\u6cd5\u5219\u65b0\u7406\u8bba<\/span><\/a>
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2022\u5e7411\u670830\u65e5\uff0c\u4e00\u4e2a\u73b0\u8c61\u7ea7\u5e94\u7528\u7a0b\u5e8f\u8bde\u751f\u4e8e\u4e92\u8054\u7f51\uff0c\u8fd9\u5c31\u662fOpenAI\u5f00\u53d1\u7684ChatGPT\u3002\u4ece\u95ee\u7b54\u5230\u5199\u7a0b\u5e8f\uff0c\u4ece\u63d0\u53d6\u6458\u8981\u5230\u8bba\u6587\u5199\u4f5c\uff0cChatGPT\u5c55\u73b0\u51fa\u4e86\u591a\u6837\u5316\u7684\u901a\u7528\u667a\u80fd\u3002\u4e8e\u662f\uff0c\u5fae\u8f6f\u3001\u8c37\u6b4c\u3001\u767e\u5ea6\u3001\u963f\u91cc\u3001\u8baf\u98de\uff0c\u4e92\u8054\u7f51\u5927\u4f6c\u4eec\u7eb7\u7eb7\u6469\u62f3\u64e6\u638c\u51c6\u5907\u5165\u573a\u2026\u2026\u4f46\u662f\uff0c\u8bf7\u5148\u51b7\u9759\u4e00\u4e0b\u2026\u2026 \u73b0\u5728 all in \u5927\u8bed\u8a00\u6a21\u578b\u662f\u5426\u771f\u7684\u5408\u9002\uff1f\u8981\u77e5\u9053\uff0cChatGPT\u7684\u80cc\u540e\u5176\u5b9e\u5c31\u662f\u6df1\u5ea6\u5b66\u4e60+\u5927\u6570\u636e+\u5927\u6a21\u578b\uff0c\u800c\u8fd9\u4e9b\u8981\u7d20\u65e9\u57285\u5e74\u524d\u7684AlphaGo\u65f6\u671f\u5c31\u5df2\u7ecf\u5f00\u59cb\u706b\u70ed\u4e86\u30025\u5e74\u524d\u6ca1\u6709\u6293\u4f4f\u673a\u9047\uff0c\u73b0\u5728\u53c8\u51ed\u4ec0\u4e48\u53ef\u4ee5\u642d\u4e0a\u5927\u8bed\u8a00\u6a21\u578b\u8fd9\u8d9f\u5217\u8f66\u5462\uff1f<\/span><\/section>\n

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\u96c6\u667a\u4ff1\u4e50\u90e8\u7279\u522b\u7ec4\u7ec7\u201c\u540e ChatGPT\u201d\u8bfb\u4e66\u4f1a<\/a>\uff0c\u7531\u5317\u5e08\u5927\u6559\u6388\u3001\u96c6\u667a\u4ff1\u4e50\u90e8\u521b\u59cb\u4eba\u5f20\u6c5f\u8001\u5e08\u8054\u5408\u8096\u8fbe\u3001\u674e\u5ae3\u7136\u3001\u5d14\u9e4f\u3001\u4faf\u6708\u6e90\u3001\u949f\u7ff0\u5ef7\u3001\u5362\u71da\u7b49\u591a\u4f4d\u8001\u5e08\u5171\u540c\u53d1\u8d77\uff0c\u65e8\u5728\u7cfb\u7edf\u6027\u5730\u68b3\u7406ChatGPT\u6280\u672f\uff0c\u5e76\u53d1\u73b0\u5176\u5f31\u70b9\u4e0e\u77ed\u677f\u3002\u672c\u7cfb\u5217\u8bfb\u4e66\u4f1a\u7ebf\u4e0a\u8fdb\u884c\uff0c2023\u5e743\u67083\u65e5\u5f00\u59cb\uff0c\u6bcf\u5468\u4e94\u665a\uff0c\u6b22\u8fce\u62a5\u540d\u4ea4\u6d41\u3002<\/span><\/section>\n


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\u8be6\u60c5\u8bf7\u89c1\uff1a
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\u201c\u540e ChatGPT\u201d\u8bfb\u4e66\u4f1a\u542f\u52a8\uff1a\u4ece\u901a\u7528\u4eba\u5de5\u667a\u80fd\u5230\u610f\u8bc6\u673a\u5668<\/a>
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\u62a5\u540d\u94fe\u63a5\uff1a<\/span><\/strong><\/section>\n
https:\/\/pattern.swarma.org\/study_group\/23?from=wechat<\/span><\/strong><\/section>\n

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AI+Science \u8bfb\u4e66\u4f1a\u542f\u52a8<\/strong><\/p>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n

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AI+Science \u662f\u8fd1\u5e74\u5174\u8d77\u7684\u5c06\u4eba\u5de5\u667a\u80fd\u548c\u79d1\u5b66\u76f8\u7ed3\u5408\u7684\u4e00\u79cd\u8d8b\u52bf\u3002\u4e00\u65b9\u9762\u662f AI for Science\uff0c\u673a\u5668\u5b66\u4e60\u548c\u5176\u4ed6 AI \u6280\u672f\u53ef\u4ee5\u7528\u6765\u89e3\u51b3\u79d1\u5b66\u7814\u7a76\u4e2d\u7684\u95ee\u9898\uff0c\u4ece\u9884\u6d4b\u5929\u6c14\u548c\u86cb\u767d\u8d28\u7ed3\u6784\uff0c\u5230\u6a21\u62df\u661f\u7cfb\u78b0\u649e\u3001\u8bbe\u8ba1\u4f18\u5316\u6838\u805a\u53d8\u53cd\u5e94\u5806\uff0c\u751a\u81f3\u50cf\u79d1\u5b66\u5bb6\u4e00\u6837\u8fdb\u884c\u79d1\u5b66\u53d1\u73b0\uff0c\u88ab\u79f0\u4e3a\u79d1\u5b66\u53d1\u73b0\u7684\u201c\u7b2c\u4e94\u8303\u5f0f\u201d\u3002\u53e6\u4e00\u65b9\u9762\u662f Science for AI\uff0c\u79d1\u5b66\u5c24\u5176\u662f\u7269\u7406\u5b66\u4e2d\u7684\u89c4\u5f8b\u548c\u601d\u60f3\u542f\u53d1\u673a\u5668\u5b66\u4e60\u7406\u8bba\uff0c\u4e3a\u4eba\u5de5\u667a\u80fd\u7684\u53d1\u5c55\u63d0\u4f9b\u5168\u65b0\u7684\u89c6\u89d2\u548c\u65b9\u6cd5\u3002<\/span><\/section>\n

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\u8be6\u60c5\u8bf7\u89c1\uff1a<\/span><\/section>\n
\u4eba\u5de5\u667a\u80fd\u548c\u79d1\u5b66\u53d1\u73b0\u76f8\u4e92\u8d4b\u80fd\u7684\u65b0\u8303\u5f0f\uff1aAI+Science \u8bfb\u4e66\u4f1a\u542f\u52a8<\/a><\/span><\/section>\n

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\u70b9\u51fb\u201c\u9605\u8bfb\u539f\u6587\u201d\uff0c\u62a5\u540d\u8bfb\u4e66\u4f1a<\/span><\/p>\n

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